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此代码是实数编码遗传算法的Matlab例程。用了精英保留策略选择和轮盘赌选择法，叉操作采用中间重组方式。-This code is a real-coded genetic algorithm Matlab routines. Retention policies with the elite selection and roulette wheel selection method, fork operation mode using the middle of restructuring.
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This program runs a GA. The roulette wheel method for parent
selection is used here. Elitism is included. Parent selection is
from the population including the elite chromosomes. The standard
bit form is used here. As usual, code works in
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fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-fga.m the main program for the genetic algorithm binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but al
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采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作.
-Binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but also introduces the inversion operation.
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实现简单的进化算法，实数编码，轮盘赌选择方式，单点交叉，均匀变异。-Simple evolutionary algorithms, real coding, roulette wheel selection method, single-point crossover, uniform mutation.
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说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operator
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说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operato
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说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operato
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遗传算法求解TSP问题，采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Genetic algorithm for solving TSP problem, using the binary Gray code, based on the roulette wheel method of non-linear ranking selection, uniform crossover, mutation, but also introduce
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roulette wheel selection method in matlab
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/求下列元素的最大值：目标函数max=f(x1,x2)=x1*x1+x2*x2 取值范围在{1，2，3，4，5，6，7}
//本算法在选择时使用：轮盘赌选择法、交叉时使用：单点交叉。
-A maximum of the following elements: objective function Max = f (x1, x2) x1+ x2 = x1** x2.Scope in,2,3,4,5,6,7 {1}This algorithm is used when the choice
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